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Data engineering

The work that starts where the tag container stops.

Most of this category ends at the container. But the events are only worth what you do with them: streamed to a warehouse you own, enriched with margin and lifetime value so platforms bid on profit, and closed back with the outcomes that happen in your CRM weeks after the click.

Data engineering
Rate $105 / hour · $840 / day
Scoped In writing before we start
Warehouses BigQuery, Snowflake, ClickHouse, S3
Sources HubSpot, Salesforce, Pipedrive, custom

Bid on profit, not revenue

A conversion worth €40 of margin and one worth €400 look identical to a bidding algorithm unless you tell it otherwise. Joining margin, lifetime value and lead quality onto events in flight is usually the single highest-leverage change available to a mature account.

Close the loop on offline outcomes

If your sale closes in a CRM rather than a checkout, every signal your platforms receive is a proxy — so they learn to buy form fills. Pushing closed-won deals, refunds and disqualifications back is what turns that into optimisation against real outcomes. It needs click identifiers captured at first touch and stored on the record, which is almost never already in place.

What is included
  • Raw events streamed to your warehouse in parallel with ad destinations
  • CRM, lifetime-value and margin joins applied to events in flight
  • Click identifier capture and storage that survives a months-long sales cycle
  • Offline conversion imports to Google Ads, Meta, LinkedIn and TikTok
  • Refunds, returns and disqualifications sent back as negative adjustments
  • App, server-to-server and custom HTTP destinations on the same pipeline
Do not buy this if
  • Fast-transaction e-commerce where the checkout already is the outcome
  • Fewer than roughly 30 closed deals a month — the platforms need volume before offline signal moves bidding
Server Events
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